Covid Data Pre-processing File

Dataset statistics

Number of variables	25
Number of observations	33851
Missing cells	139238
Missing cells (%)	16.5%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	6.5 MiB
Average record size in memory	200.0 B

Variable types

Categorical	15
Unsupported	2
Numeric	8

Warnings

`position` has constant value "0"	Constant
`created_at` has constant value "1616604699"	Constant
`updated_at` has constant value "1616604699"	Constant
`meta` has constant value "{ }"	Constant
`Data as of` has constant value "2021-03-24T00:00:00"	Constant
`Footnote` has constant value "One or more data cells have counts between 1-9 and have been suppressed in accordance with NCHS confidentiality standards."	Constant
`sid` has a high cardinality: 33851 distinct values	High cardinality
`id` has a high cardinality: 33851 distinct values	High cardinality
`State` has a high cardinality: 54 distinct values	High cardinality
`COVID-19 Deaths` is highly correlated with `Total Deaths` and 3 other fields	High correlation
`Total Deaths` is highly correlated with `COVID-19 Deaths` and 2 other fields	High correlation
`Pneumonia Deaths` is highly correlated with `COVID-19 Deaths` and 4 other fields	High correlation
`Pneumonia and COVID-19 Deaths` is highly correlated with `COVID-19 Deaths` and 2 other fields	High correlation
`Influenza Deaths` is highly correlated with `Pneumonia Deaths` and 1 other fields	High correlation
`Pneumonia, Influenza, or COVID-19 Deaths` is highly correlated with `COVID-19 Deaths` and 4 other fields	High correlation
`created_at` is highly correlated with `Place of Death` and 11 other fields	High correlation
`Place of Death` is highly correlated with `created_at` and 5 other fields	High correlation
`Age group` is highly correlated with `created_at` and 5 other fields	High correlation
`updated_at` is highly correlated with `created_at` and 11 other fields	High correlation
`Start Date` is highly correlated with `created_at` and 7 other fields	High correlation
`Data as of` is highly correlated with `created_at` and 11 other fields	High correlation
`End Date` is highly correlated with `created_at` and 7 other fields	High correlation
`Footnote` is highly correlated with `created_at` and 11 other fields	High correlation
`State` is highly correlated with `created_at` and 5 other fields	High correlation
`Group` is highly correlated with `created_at` and 5 other fields	High correlation
`Year` is highly correlated with `created_at` and 7 other fields	High correlation
`meta` is highly correlated with `created_at` and 11 other fields	High correlation
`position` is highly correlated with `created_at` and 11 other fields	High correlation
`created_meta` has 33851 (100.0%) missing values	Missing
`updated_meta` has 33851 (100.0%) missing values	Missing
`Year` has 4374 (12.9%) missing values	Missing
`Month` has 13122 (38.8%) missing values	Missing
`COVID-19 Deaths` has 6845 (20.2%) missing values	Missing
`Total Deaths` has 5634 (16.6%) missing values	Missing
`Pneumonia Deaths` has 8081 (23.9%) missing values	Missing
`Pneumonia and COVID-19 Deaths` has 6311 (18.6%) missing values	Missing
`Influenza Deaths` has 4789 (14.1%) missing values	Missing
`Pneumonia, Influenza, or COVID-19 Deaths` has 7942 (23.5%) missing values	Missing
`Footnote` has 14438 (42.7%) missing values	Missing
`COVID-19 Deaths` is highly skewed (γ1 = 53.78029524)	Skewed
`Total Deaths` is highly skewed (γ1 = 63.6556105)	Skewed
`Pneumonia Deaths` is highly skewed (γ1 = 54.12139853)	Skewed
`Pneumonia and COVID-19 Deaths` is highly skewed (γ1 = 53.10106605)	Skewed
`Influenza Deaths` is highly skewed (γ1 = 57.09514985)	Skewed
`Pneumonia, Influenza, or COVID-19 Deaths` is highly skewed (γ1 = 54.44722616)	Skewed
`sid` is uniformly distributed	Uniform
`id` is uniformly distributed	Uniform
`Place of Death` is uniformly distributed	Uniform
`Age group` is uniformly distributed	Uniform
`sid` has unique values	Unique
`id` has unique values	Unique
`created_meta` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`updated_meta` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`HHS Region` has 1458 (4.3%) zeros	Zeros
`COVID-19 Deaths` has 16751 (49.5%) zeros	Zeros
`Total Deaths` has 6318 (18.7%) zeros	Zeros
`Pneumonia Deaths` has 14905 (44.0%) zeros	Zeros
`Pneumonia and COVID-19 Deaths` has 19891 (58.8%) zeros	Zeros
`Influenza Deaths` has 26864 (79.4%) zeros	Zeros
`Pneumonia, Influenza, or COVID-19 Deaths` has 13417 (39.6%) zeros	Zeros

Reproduction

Analysis started	2021-04-25 01:13:33.861090
Analysis finished	2021-04-25 01:14:04.740263
Duration	30.88 seconds
Software version	pandas-profiling v2.11.0
Download configuration	config.yaml

sid
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	33851
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	264.6 KiB

row-prz8.4evp-2fvj	1
row-5jzy.pay8~2xk8	1
row-6gmm-xnbd_87cq	1
row-rygv~4wwx.84b7	1
row-pkr6~brre-gxzr	1
Other values (33846)	33846

Length

Max length	18
Median length	18
Mean length	18
Min length	18

Characters and Unicode

Total characters	609318
Distinct characters	37
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	33851 ?
Unique (%)	100.0%

Sample

1st row	row-xrtt.u63m-petw
2nd row	row-xvvt_qzkw-rvt2
3rd row	row-s9xs~pfcz_s4we
4th row	row-rjn9~8pz5_tcjq
5th row	row-2ktj.5dff.a4re

Value	Count	Frequency (%)
row-prz8.4evp-2fvj	1	< 0.1%
row-5jzy.pay8~2xk8	1	< 0.1%
row-6gmm-xnbd_87cq	1	< 0.1%
row-rygv~4wwx.84b7	1	< 0.1%
row-pkr6~brre-gxzr	1	< 0.1%
row-xira_pge2-gw7r	1	< 0.1%
row-upwh.4c78.62k7	1	< 0.1%
row-4n4b~wtm6-smnj	1	< 0.1%
row-jv7p.ubdd-kjpu	1	< 0.1%
row-x9xi~bk2e_ncce	1	< 0.1%
Other values (33841)	33841	> 99.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
row-prz8.4evp-2fvj	1	< 0.1%
row-5jzy.pay8~2xk8	1	< 0.1%
row-6gmm-xnbd_87cq	1	< 0.1%
row-rygv~4wwx.84b7	1	< 0.1%
row-pkr6~brre-gxzr	1	< 0.1%
row-xira_pge2-gw7r	1	< 0.1%
row-upwh.4c78.62k7	1	< 0.1%
row-4n4b~wtm6-smnj	1	< 0.1%
row-jv7p.ubdd-kjpu	1	< 0.1%
row-x9xi~bk2e_ncce	1	< 0.1%
Other values (33841)	33841	> 99.9%

Most occurring characters

Value	Count	Frequency (%)
-	50796	8.3%
r	46472	7.6%
w	46394	7.6%
o	33851	5.6%
.	17109	2.8%
_	16954	2.8%
~	16694	2.7%
5	12980	2.1%
9	12836	2.1%
a	12836	2.1%
Other values (27)	342396	56.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	406265	66.7%
Decimal Number	101500	16.7%
Dash Punctuation	50796	8.3%
Other Punctuation	17109	2.8%
Connector Punctuation	16954	2.8%
Math Symbol	16694	2.7%

Most frequent character per category

Value	Count	Frequency (%)
r	46472	11.4%
w	46394	11.4%
o	33851	8.3%
a	12836	3.2%
s	12802	3.2%
i	12789	3.1%
d	12787	3.1%
n	12779	3.1%
z	12772	3.1%
p	12745	3.1%
Other values (15)	190038	46.8%

Value	Count	Frequency (%)
5	12980	12.8%
9	12836	12.6%
7	12736	12.5%
2	12692	12.5%
4	12653	12.5%
6	12634	12.4%
3	12510	12.3%
8	12459	12.3%

Value	Count	Frequency (%)
-	50796	100.0%

Value	Count	Frequency (%)
.	17109	100.0%

Value	Count	Frequency (%)
_	16954	100.0%

Value	Count	Frequency (%)
~	16694	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	406265	66.7%
Common	203053	33.3%

Most frequent character per script

Value	Count	Frequency (%)
r	46472	11.4%
w	46394	11.4%
o	33851	8.3%
a	12836	3.2%
s	12802	3.2%
i	12789	3.1%
d	12787	3.1%
n	12779	3.1%
z	12772	3.1%
p	12745	3.1%
Other values (15)	190038	46.8%

Value	Count	Frequency (%)
-	50796	25.0%
.	17109	8.4%
_	16954	8.3%
~	16694	8.2%
5	12980	6.4%
9	12836	6.3%
7	12736	6.3%
2	12692	6.3%
4	12653	6.2%
6	12634	6.2%
Other values (2)	24969	12.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	609318	100.0%

Most frequent character per block

Value	Count	Frequency (%)
-	50796	8.3%
r	46472	7.6%
w	46394	7.6%
o	33851	5.6%
.	17109	2.8%
_	16954	2.8%
~	16694	2.7%
5	12980	2.1%
9	12836	2.1%
a	12836	2.1%
Other values (27)	342396	56.2%

id
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	33851
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	264.6 KiB

00000000-0000-0000-9C69-D162DA7C40D8	1
00000000-0000-0000-7693-047627873C2B	1
00000000-0000-0000-0236-A297A6B7DF43	1
00000000-0000-0000-9F4C-F89742DC90FD	1
00000000-0000-0000-B099-D367D63CD807	1
Other values (33846)	33846

Length

Max length	36
Median length	36
Mean length	36
Min length	36

Characters and Unicode

Total characters	1218636
Distinct characters	17
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	33851 ?
Unique (%)	100.0%

Sample

1st row	00000000-0000-0000-985B-3AC768A0E7E1
2nd row	00000000-0000-0000-FD08-DDB30B29C9A9
3rd row	00000000-0000-0000-DA88-303EA3BF1930
4th row	00000000-0000-0000-FA1F-B0B6C8B6BC1C
5th row	00000000-0000-0000-E7E4-D4897A0EF3A5

Value	Count	Frequency (%)
00000000-0000-0000-9C69-D162DA7C40D8	1	< 0.1%
00000000-0000-0000-7693-047627873C2B	1	< 0.1%
00000000-0000-0000-0236-A297A6B7DF43	1	< 0.1%
00000000-0000-0000-9F4C-F89742DC90FD	1	< 0.1%
00000000-0000-0000-B099-D367D63CD807	1	< 0.1%
00000000-0000-0000-773B-4A596CA3AECE	1	< 0.1%
00000000-0000-0000-2319-F65C6D803CB0	1	< 0.1%
00000000-0000-0000-112C-DEBA69B25C50	1	< 0.1%
00000000-0000-0000-9D18-EE216807C552	1	< 0.1%
00000000-0000-0000-06C7-7547BD7E11D3	1	< 0.1%
Other values (33841)	33841	> 99.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
00000000-0000-0000-469f-dd61ac867b60	1	< 0.1%
00000000-0000-0000-68ee-a9208da3f9ce	1	< 0.1%
00000000-0000-0000-2285-f8cb7e89f285	1	< 0.1%
00000000-0000-0000-abe1-11854341c1a9	1	< 0.1%
00000000-0000-0000-7112-7a42b25ac438	1	< 0.1%
00000000-0000-0000-a413-f78970609c76	1	< 0.1%
00000000-0000-0000-da01-f13e70c8a528	1	< 0.1%
00000000-0000-0000-eff9-2dd0a3a10521	1	< 0.1%
00000000-0000-0000-3f4e-2f3dc1cebed3	1	< 0.1%
00000000-0000-0000-3926-5ddd7c5ef7cd	1	< 0.1%
Other values (33841)	33841	> 99.9%

Most occurring characters

Value	Count	Frequency (%)
0	575491	47.2%
-	135404	11.1%
2	34225	2.8%
5	34087	2.8%
8	34067	2.8%
B	34023	2.8%
1	34000	2.8%
F	33845	2.8%
7	33801	2.8%
3	33795	2.8%
Other values (7)	235898	19.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	880496	72.3%
Uppercase Letter	202736	16.6%
Dash Punctuation	135404	11.1%

Most frequent character per category

Value	Count	Frequency (%)
0	575491	65.4%
2	34225	3.9%
5	34087	3.9%
8	34067	3.9%
1	34000	3.9%
7	33801	3.8%
3	33795	3.8%
6	33783	3.8%
9	33769	3.8%
4	33478	3.8%

Value	Count	Frequency (%)
B	34023	16.8%
F	33845	16.7%
A	33776	16.7%
E	33751	16.6%
D	33741	16.6%
C	33600	16.6%

Value	Count	Frequency (%)
-	135404	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1015900	83.4%
Latin	202736	16.6%

Most frequent character per script

Value	Count	Frequency (%)
0	575491	56.6%
-	135404	13.3%
2	34225	3.4%
5	34087	3.4%
8	34067	3.4%
1	34000	3.3%
7	33801	3.3%
3	33795	3.3%
6	33783	3.3%
9	33769	3.3%

Value	Count	Frequency (%)
B	34023	16.8%
F	33845	16.7%
A	33776	16.7%
E	33751	16.6%
D	33741	16.6%
C	33600	16.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1218636	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	575491	47.2%
-	135404	11.1%
2	34225	2.8%
5	34087	2.8%
8	34067	2.8%
B	34023	2.8%
1	34000	2.8%
F	33845	2.8%
7	33801	2.8%
3	33795	2.8%
Other values (7)	235898	19.4%

position
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	264.6 KiB

0	33851

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	33851
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Value	Count	Frequency (%)
0	33851	100.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	33851	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	33851	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	33851	100.0%

Most frequent character per category

Value	Count	Frequency (%)
0	33851	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	33851	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	33851	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	33851	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	33851	100.0%

created_at
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	264.6 KiB

1616604699	33851

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	338510
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1616604699
2nd row	1616604699
3rd row	1616604699
4th row	1616604699
5th row	1616604699

Value	Count	Frequency (%)
1616604699	33851	100.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
1616604699	33851	100.0%

Most occurring characters

Value	Count	Frequency (%)
6	135404	40.0%
1	67702	20.0%
9	67702	20.0%
0	33851	10.0%
4	33851	10.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	338510	100.0%

Most frequent character per category

Value	Count	Frequency (%)
6	135404	40.0%
1	67702	20.0%
9	67702	20.0%
0	33851	10.0%
4	33851	10.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	338510	100.0%

Most frequent character per script

Value	Count	Frequency (%)
6	135404	40.0%
1	67702	20.0%
9	67702	20.0%
0	33851	10.0%
4	33851	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	338510	100.0%

Most frequent character per block

Value	Count	Frequency (%)
6	135404	40.0%
1	67702	20.0%
9	67702	20.0%
0	33851	10.0%
4	33851	10.0%

created_meta
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	33851
Missing (%)	100.0%
Memory size	264.6 KiB

updated_at
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	264.6 KiB

1616604699	33851

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	338510
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1616604699
2nd row	1616604699
3rd row	1616604699
4th row	1616604699
5th row	1616604699

Value	Count	Frequency (%)
1616604699	33851	100.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
1616604699	33851	100.0%

Most occurring characters

Value	Count	Frequency (%)
6	135404	40.0%
1	67702	20.0%
9	67702	20.0%
0	33851	10.0%
4	33851	10.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	338510	100.0%

Most frequent character per category

Value	Count	Frequency (%)
6	135404	40.0%
1	67702	20.0%
9	67702	20.0%
0	33851	10.0%
4	33851	10.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	338510	100.0%

Most frequent character per script

Value	Count	Frequency (%)
6	135404	40.0%
1	67702	20.0%
9	67702	20.0%
0	33851	10.0%
4	33851	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	338510	100.0%

Most frequent character per block

Value	Count	Frequency (%)
6	135404	40.0%
1	67702	20.0%
9	67702	20.0%
0	33851	10.0%
4	33851	10.0%

updated_meta
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	33851
Missing (%)	100.0%
Memory size	264.6 KiB

meta
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	264.6 KiB

{ }	33851

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	101553
Distinct characters	3
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	{ }
2nd row	{ }
3rd row	{ }
4th row	{ }
5th row	{ }

Value	Count	Frequency (%)
{ }	33851	100.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
	67702	100.0%

Most occurring characters

Value	Count	Frequency (%)
{	33851	33.3%
	33851	33.3%
}	33851	33.3%

Most occurring categories

Value	Count	Frequency (%)
Open Punctuation	33851	33.3%
Space Separator	33851	33.3%
Close Punctuation	33851	33.3%

Most frequent character per category

Value	Count	Frequency (%)
{	33851	100.0%

Value	Count	Frequency (%)
	33851	100.0%

Value	Count	Frequency (%)
}	33851	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	101553	100.0%

Most frequent character per script

Value	Count	Frequency (%)
{	33851	33.3%
	33851	33.3%
}	33851	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	101553	100.0%

Most frequent character per block

Value	Count	Frequency (%)
{	33851	33.3%
	33851	33.3%
}	33851	33.3%

Data as of
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	264.6 KiB

2021-03-24T00:00:00	33851

Length

Max length	19
Median length	19
Mean length	19
Min length	19

Characters and Unicode

Total characters	643169
Distinct characters	8
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2021-03-24T00:00:00
2nd row	2021-03-24T00:00:00
3rd row	2021-03-24T00:00:00
4th row	2021-03-24T00:00:00
5th row	2021-03-24T00:00:00

Value	Count	Frequency (%)
2021-03-24T00:00:00	33851	100.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
2021-03-24t00:00:00	33851	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	270808	42.1%
2	101553	15.8%
-	67702	10.5%
:	67702	10.5%
1	33851	5.3%
3	33851	5.3%
4	33851	5.3%
T	33851	5.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	473914	73.7%
Dash Punctuation	67702	10.5%
Other Punctuation	67702	10.5%
Uppercase Letter	33851	5.3%

Most frequent character per category

Value	Count	Frequency (%)
0	270808	57.1%
2	101553	21.4%
1	33851	7.1%
3	33851	7.1%
4	33851	7.1%

Value	Count	Frequency (%)
-	67702	100.0%

Value	Count	Frequency (%)
T	33851	100.0%

Value	Count	Frequency (%)
:	67702	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	609318	94.7%
Latin	33851	5.3%

Most frequent character per script

Value	Count	Frequency (%)
0	270808	44.4%
2	101553	16.7%
-	67702	11.1%
:	67702	11.1%
1	33851	5.6%
3	33851	5.6%
4	33851	5.6%

Value	Count	Frequency (%)
T	33851	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	643169	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	270808	42.1%
2	101553	15.8%
-	67702	10.5%
:	67702	10.5%
1	33851	5.3%
3	33851	5.3%
4	33851	5.3%
T	33851	5.3%

Start Date
Categorical

HIGH CORRELATION

Distinct	15
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	264.6 KiB

2020-01-01T00:00:00	10197
2021-01-01T00:00:00	5751
2020-08-01T00:00:00	1379
2020-11-01T00:00:00	1377
2020-05-01T00:00:00	1377
Other values (10)	13770

Length

Max length	19
Median length	19
Mean length	19
Min length	19

Characters and Unicode

Total characters	643169
Distinct characters	13
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2020-01-01T00:00:00
2nd row	2020-01-01T00:00:00
3rd row	2020-01-01T00:00:00
4th row	2020-01-01T00:00:00
5th row	2020-01-01T00:00:00

Value	Count	Frequency (%)
2020-01-01T00:00:00	10197	30.1%
2021-01-01T00:00:00	5751	17.0%
2020-08-01T00:00:00	1379	4.1%
2020-11-01T00:00:00	1377	4.1%
2020-05-01T00:00:00	1377	4.1%
2020-12-01T00:00:00	1377	4.1%
2021-03-01T00:00:00	1377	4.1%
2020-10-01T00:00:00	1377	4.1%
2020-07-01T00:00:00	1377	4.1%
2020-04-01T00:00:00	1377	4.1%
Other values (5)	6885	20.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-01-01t00:00:00	10197	30.1%
2021-01-01t00:00:00	5751	17.0%
2020-08-01t00:00:00	1379	4.1%
2021-02-01t00:00:00	1377	4.1%
2020-07-01t00:00:00	1377	4.1%
2020-09-01t00:00:00	1377	4.1%
2020-11-01t00:00:00	1377	4.1%
2020-10-01t00:00:00	1377	4.1%
2020-05-01t00:00:00	1377	4.1%
2020-06-01t00:00:00	1377	4.1%
Other values (5)	6885	20.3%

Most occurring characters

Value	Count	Frequency (%)
0	327251	50.9%
2	71833	11.2%
-	67702	10.5%
:	67702	10.5%
1	63812	9.9%
T	33851	5.3%
3	2754	0.4%
8	1379	0.2%
4	1377	0.2%
5	1377	0.2%
Other values (3)	4131	0.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	473914	73.7%
Dash Punctuation	67702	10.5%
Other Punctuation	67702	10.5%
Uppercase Letter	33851	5.3%

Most frequent character per category

Value	Count	Frequency (%)
0	327251	69.1%
2	71833	15.2%
1	63812	13.5%
3	2754	0.6%
8	1379	0.3%
4	1377	0.3%
5	1377	0.3%
6	1377	0.3%
7	1377	0.3%
9	1377	0.3%

Value	Count	Frequency (%)
-	67702	100.0%

Value	Count	Frequency (%)
T	33851	100.0%

Value	Count	Frequency (%)
:	67702	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	609318	94.7%
Latin	33851	5.3%

Most frequent character per script

Value	Count	Frequency (%)
0	327251	53.7%
2	71833	11.8%
-	67702	11.1%
:	67702	11.1%
1	63812	10.5%
3	2754	0.5%
8	1379	0.2%
4	1377	0.2%
5	1377	0.2%
6	1377	0.2%
Other values (2)	2754	0.5%

Value	Count	Frequency (%)
T	33851	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	643169	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	327251	50.9%
2	71833	11.2%
-	67702	10.5%
:	67702	10.5%
1	63812	9.9%
T	33851	5.3%
3	2754	0.4%
8	1379	0.2%
4	1377	0.2%
5	1377	0.2%
Other values (3)	4131	0.6%

End Date
Categorical

HIGH CORRELATION

Distinct	15
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	264.6 KiB

2021-03-20T00:00:00	10125
2020-12-31T00:00:00	5751
2020-01-31T00:00:00	1449
2020-08-31T00:00:00	1379
2020-10-31T00:00:00	1377
Other values (10)	13770

Length

Max length	19
Median length	19
Mean length	19
Min length	19

Characters and Unicode

Total characters	643169
Distinct characters	13
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2021-03-20T00:00:00
2nd row	2021-03-20T00:00:00
3rd row	2021-03-20T00:00:00
4th row	2021-03-20T00:00:00
5th row	2021-03-20T00:00:00

Value	Count	Frequency (%)
2021-03-20T00:00:00	10125	29.9%
2020-12-31T00:00:00	5751	17.0%
2020-01-31T00:00:00	1449	4.3%
2020-08-31T00:00:00	1379	4.1%
2020-10-31T00:00:00	1377	4.1%
2020-11-30T00:00:00	1377	4.1%
2020-09-30T00:00:00	1377	4.1%
2020-04-30T00:00:00	1377	4.1%
2020-05-31T00:00:00	1377	4.1%
2021-02-28T00:00:00	1377	4.1%
Other values (5)	6885	20.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
2021-03-20t00:00:00	10125	29.9%
2020-12-31t00:00:00	5751	17.0%
2020-01-31t00:00:00	1449	4.3%
2020-08-31t00:00:00	1379	4.1%
2020-04-30t00:00:00	1377	4.1%
2020-11-30t00:00:00	1377	4.1%
2021-02-28t00:00:00	1377	4.1%
2020-06-30t00:00:00	1377	4.1%
2020-07-31t00:00:00	1377	4.1%
2020-02-29t00:00:00	1377	4.1%
Other values (5)	6885	20.3%

Most occurring characters

Value	Count	Frequency (%)
0	300285	46.7%
2	89086	13.9%
-	67702	10.5%
:	67702	10.5%
1	41051	6.4%
T	33851	5.3%
3	32474	5.0%
8	2756	0.4%
9	2754	0.4%
4	1377	0.2%
Other values (3)	4131	0.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	473914	73.7%
Dash Punctuation	67702	10.5%
Other Punctuation	67702	10.5%
Uppercase Letter	33851	5.3%

Most frequent character per category

Value	Count	Frequency (%)
0	300285	63.4%
2	89086	18.8%
1	41051	8.7%
3	32474	6.9%
8	2756	0.6%
9	2754	0.6%
4	1377	0.3%
5	1377	0.3%
6	1377	0.3%
7	1377	0.3%

Value	Count	Frequency (%)
-	67702	100.0%

Value	Count	Frequency (%)
T	33851	100.0%

Value	Count	Frequency (%)
:	67702	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	609318	94.7%
Latin	33851	5.3%

Most frequent character per script

Value	Count	Frequency (%)
0	300285	49.3%
2	89086	14.6%
-	67702	11.1%
:	67702	11.1%
1	41051	6.7%
3	32474	5.3%
8	2756	0.5%
9	2754	0.5%
4	1377	0.2%
5	1377	0.2%
Other values (2)	2754	0.5%

Value	Count	Frequency (%)
T	33851	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	643169	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	300285	46.7%
2	89086	13.9%
-	67702	10.5%
:	67702	10.5%
1	41051	6.4%
T	33851	5.3%
3	32474	5.0%
8	2756	0.4%
9	2754	0.4%
4	1377	0.2%
Other values (3)	4131	0.6%

Group
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	264.6 KiB

By Month	20729
By Year	8748
By Total	4374

Length

Max length	8
Median length	8
Mean length	7.741573366
Min length	7

Characters and Unicode

Total characters	262060
Distinct characters	14
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	By Total
2nd row	By Total
3rd row	By Total
4th row	By Total
5th row	By Total

Value	Count	Frequency (%)
By Month	20729	61.2%
By Year	8748	25.8%
By Total	4374	12.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
by	33851	50.0%
month	20729	30.6%
year	8748	12.9%
total	4374	6.5%

Most occurring characters

Value	Count	Frequency (%)
B	33851	12.9%
y	33851	12.9%
	33851	12.9%
o	25103	9.6%
t	25103	9.6%
M	20729	7.9%
n	20729	7.9%
h	20729	7.9%
a	13122	5.0%
Y	8748	3.3%
Other values (4)	26244	10.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	160507	61.2%
Uppercase Letter	67702	25.8%
Space Separator	33851	12.9%

Most frequent character per category

Value	Count	Frequency (%)
y	33851	21.1%
o	25103	15.6%
t	25103	15.6%
n	20729	12.9%
h	20729	12.9%
a	13122	8.2%
e	8748	5.5%
r	8748	5.5%
l	4374	2.7%

Value	Count	Frequency (%)
B	33851	50.0%
M	20729	30.6%
Y	8748	12.9%
T	4374	6.5%

Value	Count	Frequency (%)
	33851	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	228209	87.1%
Common	33851	12.9%

Most frequent character per script

Value	Count	Frequency (%)
B	33851	14.8%
y	33851	14.8%
o	25103	11.0%
t	25103	11.0%
M	20729	9.1%
n	20729	9.1%
h	20729	9.1%
a	13122	5.7%
Y	8748	3.8%
e	8748	3.8%
Other values (3)	17496	7.7%

Value	Count	Frequency (%)
	33851	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	262060	100.0%

Most frequent character per block

Value	Count	Frequency (%)
B	33851	12.9%
y	33851	12.9%
	33851	12.9%
o	25103	9.6%
t	25103	9.6%
M	20729	7.9%
n	20729	7.9%
h	20729	7.9%
a	13122	5.0%
Y	8748	3.3%
Other values (4)	26244	10.0%

Year
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	4374
Missing (%)	12.9%
Memory size	264.6 KiB

2020.0	20972
2021.0	8505

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	176862
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2020.0
2nd row	2020.0
3rd row	2020.0
4th row	2020.0
5th row	2020.0

Value	Count	Frequency (%)
2020.0	20972	62.0%
2021.0	8505	25.1%
(Missing)	4374	12.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
2020.0	20972	71.1%
2021.0	8505	28.9%

Most occurring characters

Value	Count	Frequency (%)
0	79926	45.2%
2	58954	33.3%
.	29477	16.7%
1	8505	4.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	147385	83.3%
Other Punctuation	29477	16.7%

Most frequent character per category

Value	Count	Frequency (%)
0	79926	54.2%
2	58954	40.0%
1	8505	5.8%

Value	Count	Frequency (%)
.	29477	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	176862	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	79926	45.2%
2	58954	33.3%
.	29477	16.7%
1	8505	4.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	176862	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	79926	45.2%
2	58954	33.3%
.	29477	16.7%
1	8505	4.8%

Month
Real number (ℝ_≥0)

MISSING

Distinct	12
Distinct (%)	0.1%
Missing	13122
Missing (%)	38.8%
Infinite	0
Infinite (%)	0.0%

Mean	5.584253944
Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Memory size	264.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	5
Q3	9
95-th percentile	12
Maximum	12
Range	11
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	3.596528922
Coefficient of variation (CV)	0.6440482396
Kurtosis	-1.236584391
Mean	5.584253944
Median Absolute Deviation (MAD)	3
Skewness	0.3390501768
Sum	115756
Variance	12.93502029
Monotocity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
1	2826	8.3%
3	2754	8.1%
2	2754	8.1%
8	1379	4.1%
7	1377	4.1%
12	1377	4.1%
6	1377	4.1%
10	1377	4.1%
11	1377	4.1%
5	1377	4.1%
Other values (2)	2754	8.1%
(Missing)	13122	38.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	2826	8.3%
2	2754	8.1%
3	2754	8.1%
4	1377	4.1%
5	1377	4.1%

Value	Count	Frequency (%)
12	1377	4.1%
11	1377	4.1%
10	1377	4.1%
9	1377	4.1%
8	1379	4.1%

HHS Region
Real number (ℝ_≥0)

ZEROS

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	5.47732711
Minimum	0
Maximum	10
Zeros	1458
Zeros (%)	4.3%
Memory size	264.6 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	3
median	5
Q3	8
95-th percentile	10
Maximum	10
Range	10
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	2.956540698
Coefficient of variation (CV)	0.5397780045
Kurtosis	-1.082835947
Mean	5.47732711
Median Absolute Deviation (MAD)	2
Skewness	-0.03489290778
Sum	185413
Variance	8.741132897
Monotocity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
4	5589	16.5%
9	4617	13.6%
5	3890	11.5%
3	3888	11.5%
10	3402	10.0%
1	2677	7.9%
8	2673	7.9%
6	2430	7.2%
7	2255	6.7%
0	1458	4.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1458	4.3%
1	2677	7.9%
2	972	2.9%
3	3888	11.5%
4	5589	16.5%

Value	Count	Frequency (%)
10	3402	10.0%
9	4617	13.6%
8	2673	7.9%
7	2255	6.7%
6	2430	7.2%

State
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct	54
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	264.6 KiB

Florida	1458
United States	1458
California	1458
Iowa	1458
Alaska	1458
Other values (49)	26561

Length

Max length	20
Median length	8
Mean length	8.548669168
Min length	4

Characters and Unicode

Total characters	289381
Distinct characters	46
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	United States
2nd row	United States
3rd row	United States
4th row	United States
5th row	United States

Value	Count	Frequency (%)
Florida	1458	4.3%
United States	1458	4.3%
California	1458	4.3%
Iowa	1458	4.3%
Alaska	1458	4.3%
Connecticut	1458	4.3%
Idaho	1458	4.3%
Indiana	1458	4.3%
Arizona	1458	4.3%
Alabama	1458	4.3%
Other values (44)	19271	56.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
connecticut	1458	3.5%
hawaii	1458	3.5%
iowa	1458	3.5%
georgia	1458	3.5%
columbia	1458	3.5%
united	1458	3.5%
district	1458	3.5%
delaware	1458	3.5%
indiana	1458	3.5%
arizona	1458	3.5%
Other values (50)	26804	64.8%

Most occurring characters

Value	Count	Frequency (%)
a	42418	14.7%
i	29164	10.1%
o	25035	8.7%
n	19759	6.8%
r	15556	5.4%
s	15206	5.3%
e	15070	5.2%
l	14580	5.0%
t	14341	5.0%
d	8262	2.9%
Other values (36)	89990	31.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	241922	83.6%
Uppercase Letter	39926	13.8%
Space Separator	7533	2.6%

Most frequent character per category

Value	Count	Frequency (%)
a	42418	17.5%
i	29164	12.1%
o	25035	10.3%
n	19759	8.2%
r	15556	6.4%
s	15206	6.3%
e	15070	6.2%
l	14580	6.0%
t	14341	5.9%
d	8262	3.4%
Other values (14)	42531	17.6%

Value	Count	Frequency (%)
C	6561	16.4%
I	6075	15.2%
A	5832	14.6%
D	3402	8.5%
M	2187	5.5%
N	2187	5.5%
S	1944	4.9%
U	1701	4.3%
H	1701	4.3%
F	1458	3.7%
Other values (11)	6878	17.2%

Value	Count	Frequency (%)
	7533	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	281848	97.4%
Common	7533	2.6%

Most frequent character per script

Value	Count	Frequency (%)
a	42418	15.0%
i	29164	10.3%
o	25035	8.9%
n	19759	7.0%
r	15556	5.5%
s	15206	5.4%
e	15070	5.3%
l	14580	5.2%
t	14341	5.1%
d	8262	2.9%
Other values (35)	82457	29.3%

Value	Count	Frequency (%)
	7533	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	289381	100.0%

Most frequent character per block

Value	Count	Frequency (%)
a	42418	14.7%
i	29164	10.1%
o	25035	8.7%
n	19759	6.8%
r	15556	5.4%
s	15206	5.3%
e	15070	5.2%
l	14580	5.0%
t	14341	5.0%
d	8262	2.9%
Other values (36)	89990	31.1%

Place of Death
Categorical

HIGH CORRELATION
UNIFORM

Distinct	9
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	264.6 KiB

Healthcare setting, outpatient or emergency room	3762
Nursing home/long term care facility	3762
Total - All Places of Death	3762
Healthcare setting, dead on arrival	3762
Hospice facility	3762
Other values (4)	15041

Length

Max length	48
Median length	27
Mean length	25.89069747
Min length	5

Characters and Unicode

Total characters	876426
Distinct characters	33
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Total - All Places of Death
2nd row	Total - All Places of Death
3rd row	Total - All Places of Death
4th row	Total - All Places of Death
5th row	Total - All Places of Death

Value	Count	Frequency (%)
Healthcare setting, outpatient or emergency room	3762	11.1%
Nursing home/long term care facility	3762	11.1%
Total - All Places of Death	3762	11.1%
Healthcare setting, dead on arrival	3762	11.1%
Hospice facility	3762	11.1%
Decedent's home	3762	11.1%
Healthcare setting, inpatient	3762	11.1%
Other	3760	11.1%
Place of death unknown	3757	11.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
healthcare	11286	8.8%
setting	11286	8.8%
facility	7524	5.9%
of	7519	5.9%
death	7519	5.9%
dead	3762	2.9%
inpatient	3762	2.9%
or	3762	2.9%
arrival	3762	2.9%
decedent's	3762	2.9%
Other values (17)	63942	50.0%

Most occurring characters

Value	Count	Frequency (%)
e	105324	12.0%
	94035	10.7%
t	82757	9.4%
a	71468	8.2%
n	52653	6.0%
i	48906	5.6%
o	48896	5.6%
r	45142	5.2%
l	45139	5.2%
c	41377	4.7%
Other values (23)	240729	27.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	714682	81.5%
Space Separator	94035	10.7%
Uppercase Letter	45137	5.2%
Other Punctuation	18810	2.1%
Dash Punctuation	3762	0.4%

Most frequent character per category

Value	Count	Frequency (%)
e	105324	14.7%
t	82757	11.6%
a	71468	10.0%
n	52653	7.4%
i	48906	6.8%
o	48896	6.8%
r	45142	6.3%
l	45139	6.3%
c	41377	5.8%
h	30089	4.2%
Other values (11)	142931	20.0%

Value	Count	Frequency (%)
H	15048	33.3%
D	7524	16.7%
P	7519	16.7%
T	3762	8.3%
A	3762	8.3%
N	3762	8.3%
O	3760	8.3%

Value	Count	Frequency (%)
,	11286	60.0%
'	3762	20.0%
/	3762	20.0%

Value	Count	Frequency (%)
	94035	100.0%

Value	Count	Frequency (%)
-	3762	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	759819	86.7%
Common	116607	13.3%

Most frequent character per script

Value	Count	Frequency (%)
e	105324	13.9%
t	82757	10.9%
a	71468	9.4%
n	52653	6.9%
i	48906	6.4%
o	48896	6.4%
r	45142	5.9%
l	45139	5.9%
c	41377	5.4%
h	30089	4.0%
Other values (18)	188068	24.8%

Value	Count	Frequency (%)
	94035	80.6%
,	11286	9.7%
-	3762	3.2%
'	3762	3.2%
/	3762	3.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	876426	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	105324	12.0%
	94035	10.7%
t	82757	9.4%
a	71468	8.2%
n	52653	6.0%
i	48906	5.6%
o	48896	5.6%
r	45142	5.2%
l	45139	5.2%
c	41377	4.7%
Other values (23)	240729	27.5%

Age group
Categorical

HIGH CORRELATION
UNIFORM

Distinct	9
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	264.6 KiB

18-29 years	3762
40-49 years	3762
0-17 years	3762
30-39 years	3761
65-74 years	3761
Other values (4)	15043

Length

Max length	17
Median length	11
Mean length	11.2220023
Min length	8

Characters and Unicode

Total characters	379876
Distinct characters	24
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	All Ages
2nd row	0-17 years
3rd row	18-29 years
4th row	30-39 years
5th row	40-49 years

Value	Count	Frequency (%)
18-29 years	3762	11.1%
40-49 years	3762	11.1%
0-17 years	3762	11.1%
30-39 years	3761	11.1%
65-74 years	3761	11.1%
75-84 years	3761	11.1%
50-64 years	3761	11.1%
All Ages	3761	11.1%
85 years and over	3760	11.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
years	30090	40.0%
40-49	3762	5.0%
0-17	3762	5.0%
18-29	3762	5.0%
30-39	3761	5.0%
ages	3761	5.0%
all	3761	5.0%
75-84	3761	5.0%
50-64	3761	5.0%
65-74	3761	5.0%
Other values (3)	11280	15.0%

Most occurring characters

Value	Count	Frequency (%)
	41371	10.9%
e	37611	9.9%
s	33851	8.9%
a	33850	8.9%
r	33850	8.9%
y	30090	7.9%
-	26330	6.9%
4	18807	5.0%
0	15046	4.0%
5	15043	4.0%
Other values (14)	94027	24.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	195575	51.5%
Decimal Number	109078	28.7%
Space Separator	41371	10.9%
Dash Punctuation	26330	6.9%
Uppercase Letter	7522	2.0%

Most frequent character per category

Value	Count	Frequency (%)
e	37611	19.2%
s	33851	17.3%
a	33850	17.3%
r	33850	17.3%
y	30090	15.4%
l	7522	3.8%
g	3761	1.9%
n	3760	1.9%
d	3760	1.9%
o	3760	1.9%

Value	Count	Frequency (%)
4	18807	17.2%
0	15046	13.8%
5	15043	13.8%
9	11285	10.3%
7	11284	10.3%
8	11283	10.3%
1	7524	6.9%
3	7522	6.9%
6	7522	6.9%
2	3762	3.4%

Value	Count	Frequency (%)
A	7522	100.0%

Value	Count	Frequency (%)
	41371	100.0%

Value	Count	Frequency (%)
-	26330	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	203097	53.5%
Common	176779	46.5%

Most frequent character per script

Value	Count	Frequency (%)
e	37611	18.5%
s	33851	16.7%
a	33850	16.7%
r	33850	16.7%
y	30090	14.8%
A	7522	3.7%
l	7522	3.7%
g	3761	1.9%
n	3760	1.9%
d	3760	1.9%
Other values (2)	7520	3.7%

Value	Count	Frequency (%)
	41371	23.4%
-	26330	14.9%
4	18807	10.6%
0	15046	8.5%
5	15043	8.5%
9	11285	6.4%
7	11284	6.4%
8	11283	6.4%
1	7524	4.3%
3	7522	4.3%
Other values (2)	11284	6.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	379876	100.0%

Most frequent character per block

Value	Count	Frequency (%)
	41371	10.9%
e	37611	9.9%
s	33851	8.9%
a	33850	8.9%
r	33850	8.9%
y	30090	7.9%
-	26330	6.9%
4	18807	5.0%
0	15046	4.0%
5	15043	4.0%
Other values (14)	94027	24.8%

COVID-19 Deaths
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
SKEWED
ZEROS

Distinct	2058
Distinct (%)	7.6%
Missing	6845
Missing (%)	20.2%
Infinite	0
Infinite (%)	0.0%

Mean	417.9198326
Minimum	0
Maximum	526027
Zeros	16751
Zeros (%)	49.5%
Memory size	264.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	36
95-th percentile	990
Maximum	526027
Range	526027
Interquartile range (IQR)	36

Descriptive statistics

Standard deviation	5777.60144
Coefficient of variation (CV)	13.82466442
Kurtosis	3882.766281
Mean	417.9198326
Median Absolute Deviation (MAD)	0
Skewness	53.78029524
Sum	11286343
Variance	33380678.4
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	16751	49.5%
11	248	0.7%
10	247	0.7%
13	204	0.6%
12	201	0.6%
14	198	0.6%
16	167	0.5%
15	159	0.5%
17	152	0.4%
18	139	0.4%
Other values (2048)	8540	25.2%
(Missing)	6845	20.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	16751	49.5%
1	70	0.2%
2	54	0.2%
3	40	0.1%
4	27	0.1%

Value	Count	Frequency (%)
526027	1	< 0.1%
379030	1	< 0.1%
342259	1	< 0.1%
241070	1	< 0.1%
162583	1	< 0.1%

Total Deaths
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
SKEWED
ZEROS

Distinct	4927
Distinct (%)	17.5%
Missing	5634
Missing (%)	16.6%
Infinite	0
Infinite (%)	0.0%

Mean	3079.592763
Minimum	0
Maximum	4035809
Zeros	6318
Zeros (%)	18.7%
Memory size	264.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	12
median	84
Q3	594
95-th percentile	8180.6
Maximum	4035809
Range	4035809
Interquartile range (IQR)	582

Descriptive statistics

Standard deviation	40345.29074
Coefficient of variation (CV)	13.10085256
Kurtosis	5442.237732
Mean	3079.592763
Median Absolute Deviation (MAD)	84
Skewness	63.6556105
Sum	86896869
Variance	1627742485
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	6318	18.7%
10	301	0.9%
11	258	0.8%
12	256	0.8%
15	214	0.6%
13	212	0.6%
14	206	0.6%
16	177	0.5%
17	169	0.5%
19	168	0.5%
Other values (4917)	19938	58.9%
(Missing)	5634	16.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	6318	18.7%
1	10	< 0.1%
2	8	< 0.1%
3	11	< 0.1%
4	10	< 0.1%

Value	Count	Frequency (%)
4035809	1	< 0.1%
3366480	1	< 0.1%
1339339	1	< 0.1%
1257053	1	< 0.1%
1208236	1	< 0.1%

Pneumonia Deaths
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
SKEWED
ZEROS

Distinct	1911
Distinct (%)	7.4%
Missing	8081
Missing (%)	23.9%
Infinite	0
Infinite (%)	0.0%

Mean	379.6217307
Minimum	0
Maximum	453484
Zeros	14905
Zeros (%)	44.0%
Memory size	264.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	42
95-th percentile	919.55
Maximum	453484
Range	453484
Interquartile range (IQR)	42

Descriptive statistics

Standard deviation	5275.495561
Coefficient of variation (CV)	13.89671648
Kurtosis	3762.484959
Mean	379.6217307
Median Absolute Deviation (MAD)	0
Skewness	54.12139853
Sum	9782852
Variance	27830853.42
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	14905	44.0%
10	331	1.0%
11	287	0.8%
13	238	0.7%
12	236	0.7%
14	206	0.6%
15	191	0.6%
16	189	0.6%
19	182	0.5%
18	181	0.5%
Other values (1901)	8824	26.1%
(Missing)	8081	23.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	14905	44.0%
1	64	0.2%
2	57	0.2%
3	38	0.1%
4	30	0.1%

Value	Count	Frequency (%)
453484	1	< 0.1%
348459	1	< 0.1%
336525	1	< 0.1%
253830	1	< 0.1%
128021	1	< 0.1%

Pneumonia and COVID-19 Deaths
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
SKEWED
ZEROS

Distinct	1452
Distinct (%)	5.3%
Missing	6311
Missing (%)	18.6%
Infinite	0
Infinite (%)	0.0%

Mean	200.3193174
Minimum	0
Maximum	255848
Zeros	19891
Zeros (%)	58.8%
Memory size	264.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	12
95-th percentile	422
Maximum	255848
Range	255848
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	2948.023364
Coefficient of variation (CV)	14.71662046
Kurtosis	3691.495411
Mean	200.3193174
Median Absolute Deviation (MAD)	0
Skewness	53.10106605
Sum	5516794
Variance	8690841.755
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	19891	58.8%
10	211	0.6%
12	204	0.6%
11	180	0.5%
13	168	0.5%
14	153	0.5%
16	128	0.4%
15	123	0.4%
19	116	0.3%
17	114	0.3%
Other values (1442)	6252	18.5%
(Missing)	6311	18.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	19891	58.8%
1	102	0.3%
2	56	0.2%
3	47	0.1%
4	25	0.1%

Value	Count	Frequency (%)
255848	1	< 0.1%
206927	1	< 0.1%
177320	1	< 0.1%
141996	1	< 0.1%
78528	1	< 0.1%

Influenza Deaths
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
SKEWED
ZEROS

Distinct	288
Distinct (%)	1.0%
Missing	4789
Missing (%)	14.1%
Infinite	0
Infinite (%)	0.0%

Mean	6.182471957
Minimum	0
Maximum	9004
Zeros	26864
Zeros (%)	79.4%
Memory size	264.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	13
Maximum	9004
Range	9004
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	104.6396602
Coefficient of variation (CV)	16.92521389
Kurtosis	4219.748401
Mean	6.182471957
Median Absolute Deviation (MAD)	0
Skewness	57.09514985
Sum	179675
Variance	10949.4585
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	26864	79.4%
1	146	0.4%
10	106	0.3%
11	96	0.3%
12	88	0.3%
2	88	0.3%
13	61	0.2%
15	58	0.2%
14	54	0.2%
17	53	0.2%
Other values (278)	1448	4.3%
(Missing)	4789	14.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	26864	79.4%
1	146	0.4%
2	88	0.3%
3	45	0.1%
4	33	0.1%

Value	Count	Frequency (%)
9004	1	< 0.1%
8776	1	< 0.1%
5686	1	< 0.1%
5534	1	< 0.1%
2436	1	< 0.1%

Pneumonia, Influenza, or COVID-19 Deaths
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
SKEWED
ZEROS

Distinct	2359
Distinct (%)	9.1%
Missing	7942
Missing (%)	23.5%
Infinite	0
Infinite (%)	0.0%

Mean	606.8093713
Minimum	0
Maximum	731429
Zeros	13417
Zeros (%)	39.6%
Memory size	264.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	71
95-th percentile	1472.6
Maximum	731429
Range	731429
Interquartile range (IQR)	71

Descriptive statistics

Standard deviation	8211.524317
Coefficient of variation (CV)	13.53229648
Kurtosis	3897.467243
Mean	606.8093713
Median Absolute Deviation (MAD)	0
Skewness	54.44722616
Sum	15721824
Variance	67429131.6
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	13417	39.6%
10	318	0.9%
11	294	0.9%
12	248	0.7%
13	239	0.7%
14	236	0.7%
15	196	0.6%
16	188	0.6%
18	183	0.5%
17	176	0.5%
Other values (2349)	10414	30.8%
(Missing)	7942	23.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	13417	39.6%
1	63	0.2%
2	41	0.1%
3	28	0.1%
4	29	0.1%

Value	Count	Frequency (%)
731429	1	< 0.1%
557798	1	< 0.1%
477243	1	< 0.1%
358206	1	< 0.1%
224641	1	< 0.1%

Footnote
Categorical

CONSTANT
HIGH CORRELATION
MISSING
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	14438
Missing (%)	42.7%
Memory size	264.6 KiB

One or more data cells have counts between 1-9 and have been suppressed in accordance with NCHS confidentiality standards.	19413

Length

Max length	122
Median length	122
Mean length	122
Min length	122

Characters and Unicode

Total characters	2368386
Distinct characters	30
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	One or more data cells have counts between 1-9 and have been suppressed in accordance with NCHS confidentiality standards.
2nd row	One or more data cells have counts between 1-9 and have been suppressed in accordance with NCHS confidentiality standards.
3rd row	One or more data cells have counts between 1-9 and have been suppressed in accordance with NCHS confidentiality standards.
4th row	One or more data cells have counts between 1-9 and have been suppressed in accordance with NCHS confidentiality standards.
5th row	One or more data cells have counts between 1-9 and have been suppressed in accordance with NCHS confidentiality standards.

Value	Count	Frequency (%)
One or more data cells have counts between 1-9 and have been suppressed in accordance with NCHS confidentiality standards.	19413	57.3%
(Missing)	14438	42.7%

Histogram of lengths of the category

Value	Count	Frequency (%)
have	38826	10.5%
counts	19413	5.3%
1-9	19413	5.3%
and	19413	5.3%
or	19413	5.3%
been	19413	5.3%
nchs	19413	5.3%
suppressed	19413	5.3%
standards	19413	5.3%
with	19413	5.3%
Other values (8)	155304	42.1%

Most occurring characters

Value	Count	Frequency (%)
	349434	14.8%
e	271782	11.5%
n	194130	8.2%
a	194130	8.2%
d	135891	5.7%
t	135891	5.7%
s	135891	5.7%
c	116478	4.9%
o	97065	4.1%
r	97065	4.1%
Other values (20)	640629	27.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1844235	77.9%
Space Separator	349434	14.8%
Uppercase Letter	97065	4.1%
Decimal Number	38826	1.6%
Dash Punctuation	19413	0.8%
Other Punctuation	19413	0.8%

Most frequent character per category

Value	Count	Frequency (%)
e	271782	14.7%
n	194130	10.5%
a	194130	10.5%
d	135891	7.4%
t	135891	7.4%
s	135891	7.4%
c	116478	6.3%
o	97065	5.3%
r	97065	5.3%
i	97065	5.3%
Other values (10)	368847	20.0%

Value	Count	Frequency (%)
O	19413	20.0%
N	19413	20.0%
C	19413	20.0%
H	19413	20.0%
S	19413	20.0%

Value	Count	Frequency (%)
1	19413	50.0%
9	19413	50.0%

Value	Count	Frequency (%)
	349434	100.0%

Value	Count	Frequency (%)
-	19413	100.0%

Value	Count	Frequency (%)
.	19413	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1941300	82.0%
Common	427086	18.0%

Most frequent character per script

Value	Count	Frequency (%)
e	271782	14.0%
n	194130	10.0%
a	194130	10.0%
d	135891	7.0%
t	135891	7.0%
s	135891	7.0%
c	116478	6.0%
o	97065	5.0%
r	97065	5.0%
i	97065	5.0%
Other values (15)	465912	24.0%

Value	Count	Frequency (%)
	349434	81.8%
1	19413	4.5%
-	19413	4.5%
9	19413	4.5%
.	19413	4.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2368386	100.0%

Most frequent character per block

Value	Count	Frequency (%)
	349434	14.8%
e	271782	11.5%
n	194130	8.2%
a	194130	8.2%
d	135891	5.7%
t	135891	5.7%
s	135891	5.7%
c	116478	4.9%
o	97065	4.1%
r	97065	4.1%
Other values (20)	640629	27.0%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	sid	id	created_at	created_meta	updated_at	updated_meta	meta	Data as of	Start Date	End Date	Group	Year	Month	State	Place of Death	Age group	COVID-19 Deaths	Total Deaths	Pneumonia Deaths	Pneumonia and COVID-19 Deaths	Influenza Deaths	Pneumonia, Influenza, or COVID-19 Deaths	Footnote
0	row-xrtt.u63m-petw	00000000-0000-0000-985B-3AC768A0E7E1	1616604699	NaN	1616604699	NaN	{ }	2021-03-24T00:00:00	2020-01-01T00:00:00	2021-03-20T00:00:00	By Total	NaN	NaN	United States	Total - All Places of Death	All Ages	526027.0	4035809.0	453484.0	255848.0	9004.0	731429.0	NaN
1	row-xvvt_qzkw-rvt2	00000000-0000-0000-FD08-DDB30B29C9A9	1616604699	NaN	1616604699	NaN	{ }	2021-03-24T00:00:00	2020-01-01T00:00:00	2021-03-20T00:00:00	By Total	NaN	NaN	United States	Total - All Places of Death	0-17 years	238.0	38250.0	646.0	44.0	179.0	1019.0	NaN
2	row-s9xs~pfcz_s4we	00000000-0000-0000-DA88-303EA3BF1930	1616604699	NaN	1616604699	NaN	{ }	2021-03-24T00:00:00	2020-01-01T00:00:00	2021-03-20T00:00:00	By Total	NaN	NaN	United States	Total - All Places of Death	18-29 years	1916.0	72834.0	2109.0	850.0	150.0	3313.0	NaN
3	row-rjn9~8pz5_tcjq	00000000-0000-0000-FA1F-B0B6C8B6BC1C	1616604699	NaN	1616604699	NaN	{ }	2021-03-24T00:00:00	2020-01-01T00:00:00	2021-03-20T00:00:00	By Total	NaN	NaN	United States	Total - All Places of Death	30-39 years	5583.0	103647.0	5088.0	2561.0	318.0	8406.0	NaN
4	row-2ktj.5dff.a4re	00000000-0000-0000-E7E4-D4897A0EF3A5	1616604699	NaN	1616604699	NaN	{ }	2021-03-24T00:00:00	2020-01-01T00:00:00	2021-03-20T00:00:00	By Total	NaN	NaN	United States	Total - All Places of Death	40-49 years	15134.0	156430.0	12934.0	7445.0	494.0	21048.0	NaN
5	row-rjzn~8uab.sdrb	00000000-0000-0000-DE94-04F2628A675B	1616604699	NaN	1616604699	NaN	{ }	2021-03-24T00:00:00	2020-01-01T00:00:00	2021-03-20T00:00:00	By Total	NaN	NaN	United States	Total - All Places of Death	50-64 years	78883.0	659981.0	72258.0	41686.0	2128.0	111258.0	NaN
6	row-emcy~xkxq_hr9z	00000000-0000-0000-84DA-BC7EBB6B6B4C	1616604699	NaN	1616604699	NaN	{ }	2021-03-24T00:00:00	2020-01-01T00:00:00	2021-03-20T00:00:00	By Total	NaN	NaN	United States	Total - All Places of Death	65-74 years	115381.0	810095.0	104453.0	61572.0	1939.0	159891.0	NaN
7	row-k4ns~4hrc_4xd6	00000000-0000-0000-EC33-3C1DCF81CEF6	1616604699	NaN	1616604699	NaN	{ }	2021-03-24T00:00:00	2020-01-01T00:00:00	2021-03-20T00:00:00	By Total	NaN	NaN	United States	Total - All Places of Death	75-84 years	146309.0	986336.0	127975.0	74117.0	1955.0	201853.0	NaN
8	row-wwyk.emea-2wei	00000000-0000-0000-9333-A435A0084F36	1616604699	NaN	1616604699	NaN	{ }	2021-03-24T00:00:00	2020-01-01T00:00:00	2021-03-20T00:00:00	By Total	NaN	NaN	United States	Total - All Places of Death	85 years and over	162583.0	1208236.0	128021.0	67573.0	1841.0	224641.0	NaN
9	row-cy3u.a6nx.wtdf	00000000-0000-0000-D713-E4051964DE70	1616604699	NaN	1616604699	NaN	{ }	2021-03-24T00:00:00	2020-01-01T00:00:00	2021-03-20T00:00:00	By Total	NaN	NaN	United States	Healthcare setting, inpatient	All Ages	342259.0	1257053.0	336525.0	206927.0	5686.0	477243.0	NaN

Last rows

	sid	id	created_at	created_meta	updated_at	updated_meta	meta	Data as of	Start Date	End Date	Group	Year	Month	HHS Region	State	Place of Death	Age group	Total Deaths	Pneumonia Deaths	Pneumonia, Influenza, or COVID-19 Deaths	Footnote
33841	row-wy3r-htzw-wvu7	00000000-0000-0000-AD85-C10FB86FC6AF	1616604699	NaN	1616604699	NaN	{ }	2021-03-24T00:00:00	2020-01-01T00:00:00	2020-01-31T00:00:00	By Month	2020.0	1.0	7	Kansas	Other	0-17 years	NaN	0.0	0.0	One or more data cells have counts between 1-9 and have been suppressed in accordance with NCHS confidentiality standards.
33842	row-kv4e_6kz5-a9gi	00000000-0000-0000-055E-F7A56C74BF44	1616604699	NaN	1616604699	NaN	{ }	2021-03-24T00:00:00	2020-01-01T00:00:00	2020-01-31T00:00:00	By Month	2020.0	1.0	7	Kansas	Other	18-29 years	16.0	0.0	0.0	NaN
33843	row-a54n_pyf6.t2s7	00000000-0000-0000-4E32-E93E22005AB2	1616604699	NaN	1616604699	NaN	{ }	2021-03-24T00:00:00	2020-01-01T00:00:00	2020-01-31T00:00:00	By Month	2020.0	1.0	7	Kansas	Other	30-39 years	11.0	NaN	NaN	One or more data cells have counts between 1-9 and have been suppressed in accordance with NCHS confidentiality standards.
33844	row-apdu_mjtw-yh4k	00000000-0000-0000-8E7D-EE687DEF6FC6	1616604699	NaN	1616604699	NaN	{ }	2021-03-24T00:00:00	2020-01-01T00:00:00	2020-01-31T00:00:00	By Month	2020.0	1.0	7	Kansas	Other	40-49 years	11.0	0.0	0.0	NaN
33845	row-d5ym_ftah~gxsp	00000000-0000-0000-CEE6-6E5523D292CD	1616604699	NaN	1616604699	NaN	{ }	2021-03-24T00:00:00	2020-01-01T00:00:00	2020-01-31T00:00:00	By Month	2020.0	1.0	1	Vermont	Place of death unknown	40-49 years	0.0	0.0	0.0	NaN
33846	row-qn8c~haza.hz4s	00000000-0000-0000-DFA3-6C88E54F95C6	1616604699	NaN	1616604699	NaN	{ }	2021-03-24T00:00:00	2020-01-01T00:00:00	2020-01-31T00:00:00	By Month	2020.0	1.0	1	Vermont	Place of death unknown	50-64 years	0.0	0.0	0.0	NaN
33847	row-45fu_6uq9.d3af	00000000-0000-0000-0D4F-473835A443BD	1616604699	NaN	1616604699	NaN	{ }	2021-03-24T00:00:00	2020-01-01T00:00:00	2020-01-31T00:00:00	By Month	2020.0	1.0	1	Vermont	Place of death unknown	65-74 years	0.0	0.0	0.0	NaN
33848	row-9x5n~nept_enyu	00000000-0000-0000-D817-2866AEF74D5D	1616604699	NaN	1616604699	NaN	{ }	2021-03-24T00:00:00	2020-01-01T00:00:00	2020-01-31T00:00:00	By Month	2020.0	1.0	1	Vermont	Place of death unknown	75-84 years	0.0	0.0	0.0	NaN
33849	row-spfz-w7in.qeqs	00000000-0000-0000-B212-1C12065D8B38	1616604699	NaN	1616604699	NaN	{ }	2021-03-24T00:00:00	2020-08-01T00:00:00	2020-08-31T00:00:00	By Month	2020.0	8.0	5	Wisconsin	Other	0-17 years	NaN	0.0	0.0	One or more data cells have counts between 1-9 and have been suppressed in accordance with NCHS confidentiality standards.
33850	row-hx26~enk2_g69b	00000000-0000-0000-6674-15DFD35AA38D	1616604699	NaN	1616604699	NaN	{ }	2021-03-24T00:00:00	2020-08-01T00:00:00	2020-08-31T00:00:00	By Month	2020.0	8.0	5	Wisconsin	Other	18-29 years	32.0	0.0	0.0	NaN

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters